A Low-Complexity CNN-LSTM Framework for Solar Power Generation Forecasting Using Weather Parameters
Accurate solar power forecasting is very important for operating photovoltaic (PV) systems and using energy resources efficiently. This paper proposes a lowcomplexity CNN+LSTM model to predict both solar power and weather conditions by using real-time data collected from IoTbased sensors. To monitor performance and ant...